AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms.
- DOI
- 10.3390/s22072642
- Published
- 2022 Mar 30
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s22072642,
title = {AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms.},
author = {Convertino VA and Techentin RW and Poole RJ and Dacy AC and Carlson AN and Cardin S and Haider CR and Holmes Iii DR and Wiggins CC and Joyner MJ and Curry TB and Inan OT},
year = {2022},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s22072642},
url = {https://doi.org/10.3390/s22072642}
}RIS
TY - JOUR TI - AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms. AU - Convertino VA AU - Techentin RW AU - Poole RJ AU - Dacy AC AU - Carlson AN AU - Cardin S AU - Haider CR AU - Holmes Iii DR AU - Wiggins CC AU - Joyner MJ AU - Curry TB AU - Inan OT PY - 2022 JO - Sensors (Basel, Switzerland) DO - 10.3390/s22072642 UR - https://doi.org/10.3390/s22072642 ER -
APA
VA, C., RW, T., RJ, P., AC, D., AN, C., S, C., CR, H., DR, H. I., CC, W., MJ, J., TB, C., & OT, I. (2022). AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s22072642
Source records
- pubmed · retrieved 2026-09-26T00:47:52.808Z